Difference between revisions of "Course information"

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Please refer to the table below for more concrete information about SMT483: Project Experience.
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=SMT Project Experience Options=
 
{| class="wikitable"
 
{| class="wikitable"
 
|-
 
|-
−
!  !! Type I - Application Project !! Type II - Smart City Analytical / Urban Planning Practicum Project !! Type III - Research Project
+
!  !! Type I - Application Project !! Type II - Smart City Analytical / <br> Urban Planning Practicum Project !! Type III - Research Project
 
|-
 
|-
 
| '''Team Size''' || 4-6 || 2-3 || 1 (GPA > 3.4)
 
| '''Team Size''' || 4-6 || 2-3 || 1 (GPA > 3.4)
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| '''Objective and Scope''' || To design and implement a smart city application that incorporates combination of technology enablers and a solution addressing an urbanization and/or societal challenge. || To conduct an evidence-based analysis of smart city blueprint (locally or overseas) or analytical models addressing an urbanization and/or societal challenge. || To conduct an research based on an identified problem related to addressing a smart city challenge. The scope may include new algorithm / approach, simulation and analysis of an urbanization or societal challenge.
 
| '''Objective and Scope''' || To design and implement a smart city application that incorporates combination of technology enablers and a solution addressing an urbanization and/or societal challenge. || To conduct an evidence-based analysis of smart city blueprint (locally or overseas) or analytical models addressing an urbanization and/or societal challenge. || To conduct an research based on an identified problem related to addressing a smart city challenge. The scope may include new algorithm / approach, simulation and analysis of an urbanization or societal challenge.
 
|-
 
|-
−
| '''Recommended Skill-sets / Pre-requisites''' || ● You should have passed ''SMT110/IS110 Introduction to Programming'', ''SMT203 Smart City Systems and Management'', ''IS112 Data Management'' </br>● Other highly recommended courses: ''Interaction Design & Prototyping'', ''Web Application Development I & II'', ''Internet of Things'' || ● ''Empirical Studies'', ''Research Methods'', ''Analytics Foundation'', ''Geographic Information Systems'', ''Sustainable (Digital) Cities'', ''Introduction to Public Policy''. || ● Empirical Studies, Research Methods, domain-specific (e.g., healthcare, logistics) or project-specific technical skills (e.g., data mining, text mining). Skills requirement varies from project to project depends on supervisor.
+
| '''Recommended Skill-sets / Pre-requisites'''  
 +
||
 +
* You should have passed ''SMT110/IS110 Introduction to Programming'', ''SMT203 Smart City Systems and Management'', ''IS112 Data Management''  
 +
* Other highly recommended courses: ''Interaction Design & Prototyping'', ''Web Application Development I & II'', ''Internet of Things''  
 +
||
 +
* ''Empirical Studies'', ''Research Methods'', ''Analytics Foundation'', ''Geographic Information Systems'', ''Sustainable (Digital) Cities'', ''Introduction to Public Policy''.  
 +
||
 +
* Empirical Studies, Research Methods, domain-specific (e.g., healthcare, logistics) or project-specific technical skills (e.g., data mining, text mining). Skills requirement varies from project to project depends on supervisor.
 
|-
 
|-
−
| '''Project Sponsor / Supervisor''' || ● SIS-sourced '''OR''' </br> ● Self-sourced external sponsor '''OR''' </br> ● Self-sponsored (entrepreneurial) '''OR''' </br> ● SIS Faculty supervisor or industry mentor (entrepreneurial project) supervises team || ● SIS-sourced '''OR''' </br> ● Self-sourced external sponsor '''OR''' </br> ● Faculty supervisor (SIS or other school’s) supervises team || ● SMU faculty (student to find relevant faculty from any school offering guided research project or independent study)
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| '''Project Sponsor / Supervisor'''  
 +
||  
 +
* SIS-sourced '''OR'''  
 +
* Self-sourced external sponsor '''OR'''  
 +
* Self-sponsored (entrepreneurial) '''OR'''  
 +
* SIS Faculty supervisor or industry mentor (entrepreneurial project) supervises team  
 +
||  
 +
* SIS-sourced '''OR'''  
 +
* Self-sourced external sponsor '''OR'''  
 +
* Faculty supervisor (SIS or other school’s) supervises team  
 +
||  
 +
* SMU faculty (student to find relevant faculty from any school offering guided research project or independent study)
 
|-
 
|-
−
| '''Expected Outcomes''' || ● System prototype and documentation </br> ● Presentation and report || ● Wireframe/Proof-of-concept/analytical model/city blueprint along with evidence-based analysis </br> ● Presentation and report, dashboard/analytical model, acceptance/review by sponsor || ● Proposal of the research problem </br> ● Midterm report with approaches and initial findings </br> ● Final Presentation and research paper
+
| '''Expected Outcomes'''  
 +
||
 +
* System prototype and documentation  
 +
* Presentation and report  
 +
||
 +
* Wireframe/Proof-of-concept/analytical model/city blueprint along with evidence-based analysis  
 +
* Presentation and report, dashboard/analytical model, acceptance/review by sponsor  
 +
||
 +
* Proposal of the research problem
 +
* Midterm report with approaches and initial findings  
 +
* Final Presentation and research paper
 
|-
 
|-
−
| '''Available Period''' || ● Year 3 Term 1 onwards (Y3T2 onwards preferred) </br> ● It can be an implementation extension of IDP, Guided Research Project, SCSM, IoT (approval by course coordinator required). || ● Year 3 Term 1 onwards </br> ● It can be an analytics focused project based on continuation of another project from another "approved" course e.g., SCSM, Data Mining, GIS, IOT course (approval by course coordinator required). || ● Year 3 Term 1 onwards
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| '''Available Period'''  
 +
||  
 +
* Year 3 Term 1 onwards (Y3T2 onwards preferred)
 +
* It can be an implementation extension of IDP, Guided Research Project, SCSM, IoT (approval by course coordinator required).  
 +
||  
 +
* Year 3 Term 1 onwards  
 +
* It can be an analytics focused project based on continuation of another project from another "approved" course e.g., SCSM, Data Mining, GIS, IOT course (approval by course coordinator required).  
 +
||  
 +
* Year 3 Term 1 onwards
 
|-
 
|-
 
| '''Project Proposal Deadline''' || One week before term starts || One week before term starts || One week before term starts. Your supervisor must agree to the proposal and to supervise you
 
| '''Project Proposal Deadline''' || One week before term starts || One week before term starts || One week before term starts. Your supervisor must agree to the proposal and to supervise you
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Download [[https://smu-my.sharepoint.com/:w:/g/personal/yangsiyulai_2017_sis_smu_edu_sg/EV8iOHJBZFhKt5KoCcmCzZkBD3HzHOCV58L3RWktdScbeA?e=qbUWAh]]
 
Download [[https://smu-my.sharepoint.com/:w:/g/personal/yangsiyulai_2017_sis_smu_edu_sg/EV8iOHJBZFhKt5KoCcmCzZkBD3HzHOCV58L3RWktdScbeA?e=qbUWAh]]
 
|}
 
|}
 +
 +
=Course Assessments=
 +
{| class="wikitable" style="text-align: center;"
 +
|-
 +
! rowspan="2" | Assessment Item(s)
 +
! colspan="3" | Weightage (%)
 +
|-
 +
! Type I - Application Project !! Type II - Smart City Analytical / <br> Urban Planning Practicum Project !! Type III - Research Project
 +
|-
 +
| Project Proposal || 10 || 10 || 10
 +
|-
 +
| Mid-term presentation / report* || 20 || 30* || 30
 +
|-
 +
| Final Presentation || 40 || 20 || 30
 +
|-
 +
| Final Report/Paper* || 30 || 40* || 30
 +
|-
 +
| '''Total''' || 100 || 100 || 100
 +
|-
 +
|}
 +
 +
==Course Assessment Details==
 +
{| class="wikitable"
 +
|-
 +
! Assessment Item !! Type I - Application Project !! Type II - Smart City Analytical / <br> Urban Planning Practicum Project !! Type III - Research Project
 +
|-
 +
! Project Proposal
 +
||
 +
* Clarity of project
 +
* Project plan and schedule
 +
* Benefits to society
 +
||
 +
* Clarity of project
 +
* Project plan and schedule
 +
* Benefits to society
 +
* List of references
 +
||
 +
* Clarity of project
 +
* Project plan and schedule
 +
* Benefits to society
 +
* Description of available data
 +
|-
 +
! Mid-term
 +
||
 +
* Project management
 +
* Quality of project, including demo
 +
||
 +
* Literature survey
 +
* Preliminary findings
 +
||
 +
* Project management
 +
* Preliminary findings
 +
|-
 +
! Final Presentation
 +
||
 +
* Project management
 +
* Quality of product
 +
* Peer evaluation
 +
* Project documentation
 +
||
 +
* Main research findings
 +
||
 +
* Project management
 +
* Peer evaluation
 +
* Data-driven / evidence-based insights
 +
|-
 +
! Report/Paper
 +
||
 +
* Key findings to demonstrate value to sponsor and benefits to society
 +
* Real challenges faced , mitigation steps and lessons learnt
 +
||
 +
* Key findings to demonstrate value to sponsor and benefits to society
 +
* Real challenges faced , mitigation steps and lessons learnt
 +
||
 +
* Key findings to demonstrate value to sponsor and benefits to society
 +
* Real challenges faced , mitigation steps and lessons learnt
 +
|}
 +
 +
=Lesson Plan=
 +
{| class="wikitable"
 +
|-
 +
! End of Week !! Assessment Item !! Graded by !! Feedback by
 +
|-
 +
| 0  || Project proposal || Course Manager ||
 +
|-
 +
| 7 || Mid-term presentation/report || Supervisor ||
 +
|-
 +
| 14 || Final presentation || Supervisor, Reviewer || Reviewer, Sponsor
 +
|-
 +
| 15 || Final report/paper || Supervisor ||
 +
|}
 +
 +
=Resources=
 +
'''Main Reference'''
 +
<br> https://wiki.smu.edu.sg/1819t2smt483/Main_Page
 +
 +
'''Other References'''
 +
# https://wiki.smu.edu.sg/is480/Main_Page
 +
# https://wiki.smu.edu.sg/ANLY482/Main_Page
 +
# https://sis.smu.edu.sg/programmes/undergraduate/beyond/rxu#process-apply-is470x1

Revision as of 15:34, 9 January 2020

SMT Project Experience Options

Type I - Application Project Type II - Smart City Analytical /
Urban Planning Practicum Project		 Type III - Research Project
Team Size 4-6 2-3 1 (GPA > 3.4)
Objective and Scope To design and implement a smart city application that incorporates combination of technology enablers and a solution addressing an urbanization and/or societal challenge. To conduct an evidence-based analysis of smart city blueprint (locally or overseas) or analytical models addressing an urbanization and/or societal challenge. To conduct an research based on an identified problem related to addressing a smart city challenge. The scope may include new algorithm / approach, simulation and analysis of an urbanization or societal challenge.
Recommended Skill-sets / Pre-requisites
  • You should have passed SMT110/IS110 Introduction to Programming, SMT203 Smart City Systems and Management, IS112 Data Management
  • Other highly recommended courses: Interaction Design & Prototyping, Web Application Development I & II, Internet of Things
  • Empirical Studies, Research Methods, Analytics Foundation, Geographic Information Systems, Sustainable (Digital) Cities, Introduction to Public Policy.
  • Empirical Studies, Research Methods, domain-specific (e.g., healthcare, logistics) or project-specific technical skills (e.g., data mining, text mining). Skills requirement varies from project to project depends on supervisor.
Project Sponsor / Supervisor
  • SIS-sourced OR
  • Self-sourced external sponsor OR
  • Self-sponsored (entrepreneurial) OR
  • SIS Faculty supervisor or industry mentor (entrepreneurial project) supervises team
  • SIS-sourced OR
  • Self-sourced external sponsor OR
  • Faculty supervisor (SIS or other school’s) supervises team
  • SMU faculty (student to find relevant faculty from any school offering guided research project or independent study)
Expected Outcomes
  • System prototype and documentation
  • Presentation and report
  • Wireframe/Proof-of-concept/analytical model/city blueprint along with evidence-based analysis
  • Presentation and report, dashboard/analytical model, acceptance/review by sponsor
  • Proposal of the research problem
  • Midterm report with approaches and initial findings
  • Final Presentation and research paper
Available Period
  • Year 3 Term 1 onwards (Y3T2 onwards preferred)
  • It can be an implementation extension of IDP, Guided Research Project, SCSM, IoT (approval by course coordinator required).
  • Year 3 Term 1 onwards
  • It can be an analytics focused project based on continuation of another project from another "approved" course e.g., SCSM, Data Mining, GIS, IOT course (approval by course coordinator required).
  • Year 3 Term 1 onwards
Project Proposal Deadline One week before term starts One week before term starts One week before term starts. Your supervisor must agree to the proposal and to supervise you
Project Proposal Template Download [[1]] Download [[2]]

Download [[3]]

Course Assessments

Assessment Item(s) Weightage (%)
Type I - Application Project Type II - Smart City Analytical /
Urban Planning Practicum Project		 Type III - Research Project
Project Proposal 10 10 10
Mid-term presentation / report* 20 30* 30
Final Presentation 40 20 30
Final Report/Paper* 30 40* 30
Total 100 100 100

Course Assessment Details

Assessment Item Type I - Application Project Type II - Smart City Analytical /
Urban Planning Practicum Project		 Type III - Research Project
Project Proposal
  • Clarity of project
  • Project plan and schedule
  • Benefits to society
  • Clarity of project
  • Project plan and schedule
  • Benefits to society
  • List of references
  • Clarity of project
  • Project plan and schedule
  • Benefits to society
  • Description of available data
Mid-term
  • Project management
  • Quality of project, including demo
  • Literature survey
  • Preliminary findings
  • Project management
  • Preliminary findings
Final Presentation
  • Project management
  • Quality of product
  • Peer evaluation
  • Project documentation
  • Main research findings
  • Project management
  • Peer evaluation
  • Data-driven / evidence-based insights
Report/Paper
  • Key findings to demonstrate value to sponsor and benefits to society
  • Real challenges faced , mitigation steps and lessons learnt
  • Key findings to demonstrate value to sponsor and benefits to society
  • Real challenges faced , mitigation steps and lessons learnt
  • Key findings to demonstrate value to sponsor and benefits to society
  • Real challenges faced , mitigation steps and lessons learnt

Lesson Plan

End of Week Assessment Item Graded by Feedback by
0 Project proposal Course Manager
7 Mid-term presentation/report Supervisor
14 Final presentation Supervisor, Reviewer Reviewer, Sponsor
15 Final report/paper Supervisor

Resources

Main Reference
https://wiki.smu.edu.sg/1819t2smt483/Main_Page

Other References

  1. https://wiki.smu.edu.sg/is480/Main_Page
  2. https://wiki.smu.edu.sg/ANLY482/Main_Page
  3. https://sis.smu.edu.sg/programmes/undergraduate/beyond/rxu#process-apply-is470x1
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